David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Ezio Di Nucci
Jack Alan Reynolds
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Minds and Machines 22 (3):235-262 (2012)
Embedded and embodied approaches to cognition urge that (1) complicated internal representations may be avoided by letting features of the environment drive behavior, and (2) environmental structures can play an enabling role in cognition, allowing prior cognitive processes to solve novel tasks. Such approaches are thus in a natural position to oppose the ‘thesis of linguistic structuring’: The claim that the ability to use language results in a wholesale recapitulation of linguistic structure in onboard mental representation. Prominent examples of researchers adopting this critical stance include Andy Clark, Michael Wheeler, and Mark Rowlands. But is such opposition warranted? Since each of these authors advocate accounts of mental representation that are broadly connectionist, I survey research on formal language computation in artificial neural networks, and argue that results indicate a strong form of the linguistic structuring thesis is true: Internal representational systems recapitulate significant linguistic structure, even on a connectionist account of mental representation. I conclude by sketching how my conclusion can nonetheless be viewed as consistent with and complimentary to an embedded/embodied account of the role of linguistic structure in cognition.
|Keywords||Situated cognition Language Artificial Neural Networks Connectionism Mental representation|
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References found in this work BETA
Jerry A. Fodor (1975). The Language of Thought. Harvard University Press.
Andy Clark (2008). Supersizing the Mind: Embodiment, Action, and Cognitive Extension. Oxford University Press.
Rodney Brooks (1991). Intelligence Without Representation. Artificial Intelligence 47:139-159.
Andy Clark (1993). Associative Engines: Connectionism, Concepts, and Representational Change. MIT Press.
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